Location-Routing Problem for Relief Distribution in the Early Post-Earthquake Stage from the Perspective of Fairness

Changshi Liu, Gang Kou, Yi Peng and Fawaz E. Alsaadi
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Changshi Liu: School of Management, Hunan University of Commerce, Changsha 410205, China
Gang Kou: School of Business Administration, Southwestern University of Finance and Economics, Chengdu 611130, China
Yi Peng: School of Management and Economics, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu 611731, China
Fawaz E. Alsaadi: Department of information Technology, Faculty of Computing and IT, King Abdulaziz University, Jeddah 21589, Saudi Arabia

Sustainability, 2019, vol. 11, issue 12, 1-16

Abstract: To address the shortage of relief in disaster areas during the early stages after an earthquake, a location-routing problem (LRP) was studied from the perspective of fairness. A multi-objective model for the fair LRP was developed by lexicographic order object optimal method in consideration of the urgent window constraints, partial road damage, multimodal relief delivery, disaster severity, and vulnerability of each demand node when its demand is not satisfied. The goals of this model are to minimize (1) the maximum loss of demand node, (2) the total loss of demand node, and (3) the maximum time required for the demand node to receive relief. A hybrid heuristic algorithm was proposed to solve the model. Finally, the utility and fairness of the model and algorithm were demonstrated by a case study during the first day after the great Wenchuan earthquake in China.

Keywords: location-routing problem; relief delivery; fair allocation; fair distribution (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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